Methods and systems for customizing treatments

A method of customizing treatments, the method comprising:

• recording, by a computing device, a user biological extraction containing an element of user physiological data;
• generating, by the computing device, a condition state model, wherein the condition state model comprises a machine-learning model trained by condition state training data comprising a plurality of physiological data sets and a plurality of correlated condition state labels and wherein the condition state model is configured to receive the element of user physiological data as an input and output a condition state label associated with the element of user physiological data;
• selecting, by the computing device, a treatment training set according to the condition state label associated with the element of user physiological data, wherein the treatment training set further comprises a plurality of condition state labels and a plurality of correlated treatments;
• and
• generating, by the computing device, a treatment model, wherein the treatment model comprises a machine-learning model trained by the selected treatment training set and wherein the treatment model is configured to receive the condition state label associated with the element of user physiological data as an input and output a plurality of treatments, wherein generating the treatment model further comprises:
• calculating a treatment category selector, wherein calculating the treatment selector comprises an approach factor, multiplied by an implementation factor, multiplied by a corrective factor;
• and
• selecting the treatment training set further according to the treatment category selector.